Fake Image Detector Online 🖼️

Fake Image Detector Online is a powerful tool designed to help users identify forged, tampered, or photoshopped images with industry-leading accuracy. The project combines a modern Next.js frontend with a FastAPI backend to deliver a seamless and efficient image analysis experience.

Demo -> Fake Image Detector 🚀

Features

• Lightning Fast Detection: Results in milliseconds with an optimized detection engine ⚡.
• Highly Accurate: 99.7% accuracy in detecting photo manipulation and forgeries.
• Easy to Use: Drag & drop interface with detailed analysis reports.
• Privacy Focused: Images are analyzed privately and never stored on servers 🔒.
• Completely Free: No account creation or hidden fees.

Tech Stack

Frontend

• Framework: Next.js (React-based)
• Styling: Tailwind CSS and shadcn
• Language: TypeScript

Backend

• Framework: FastAPI
• Language: Python
• API Integration: The backend is used for image analysis and is integrated with the frontend via /api/predict/route.ts.

How It Works

1. Upload an Image: Drag and drop or select an image to analyze.
2. Analysis: The backend processes the image using advanced detection techniques:
   • Pattern Analysis: Detects unnatural textures, inconsistent lighting, and peculiar artifacts.
   • Metadata Inspection: Extracts and analyzes EXIF data for signs of manipulation.
   • Noise Analysis: Identifies noise patterns that differ from authentic photos.
3. Results: The tool provides a detailed report on whether the image is authentic or manipulated.

Running the Project Locally

Prerequisites

• Node.js or Bun with their package manager installed.
• Python 3.10.13 installed.
• Uvicorn for running the FastAPI server.

Frontend Setup

1. Clone the repository:

   git clone https://github.com/ankittchaurasia/fakeimagedetector.git
   cd fakeimagedetector

2. Install dependencies:

   npm install

3. Add a .env.local file with the following content:

   NEXT_PUBLIC_TURNSTILE_SITE_KEY=1x00000000000000000000AA
   NEXT_PUBLIC_TURNSTILE_SECRET_KEY=1x00000000000000000000BB
   BACKEND_URL=http://localhost:8000

   • The TURNSTILE_SITE_KEY and TURNSTILE_SECRET_KEY are testing keys provided by Cloudflare Turnstile.
   • Replace BACKEND_URL with the local URL of your FastAPI server.

4. Start the development server:

   npm run dev

Backend Setup

1. Navigate to the /fastapi folder:

   cd fastapi

2. Install dependencies:

   pip install -r requirements.txt

3. Start the FastAPI server:

   uvicorn main:app --reload

4. Ensure the backend URL matches the BACKEND_URL in your .env.local file.

Access the Application

• Open your browser and navigate to http://localhost:3000 to access the frontend.
• The backend will be running at http://localhost:8000.

Deployment

Frontend

• Deploy the Next.js application to platforms like Vercel or Netlify.

Backend

• Deploy the FastAPI backend to platforms like AWS, Google Cloud, or Heroku.

Turnstile Integration

• In production, replace the testing keys with your actual Cloudflare Turnstile keys to prevent abuse.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

• Inspired by tools like FotoForensics.
• Built with love by Ankit Chaurasiya. ❤️

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🧠 This README was generated with the help of AI. If you notice any errors or have suggestions, feel free to open an issue or contact me.